Practical Guide to Applied Conformal Prediction in Python

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Conformal Prediction for Time Series and Forecasting

In this chapter, we will explore the exciting field of conformal prediction for time series and forecasting. Conformal prediction is a powerful tool for producing prediction intervals (PIs) for point forecasting models, and we will show you how to apply this technique to your data using open source libraries. This chapter will take you on a journey from understanding the fundamentals of uncertainty quantification (UQ) in time series to the intricate mechanisms behind conformal prediction in forecasting.

With this chapter, you will have a solid understanding of the various approaches to producing PIs, and you will be able to build your PIs using conformal prediction.

In this chapter, we’re ...